10454 results about "Image frame" patented technology

Sound processing methods and apparatus are provided. A sound capture unit is configured to identify one or more sound sources. The sound capture unit generates data capable of being analyzed to determine a listening zone at which to process sound to the substantial exclusion of sounds outside the listening zone. Sound captured and processed for the listening zone may be used for interactivity with the computer program. The listening zone may be adjusted based on the location of a sound source. One or more listening zones may be pre-calibrated. The apparatus may optionally include an image capture unit configured to capture one or more image frames. The listening zone may be adjusted based on the image. A video game unit may be controlled by generating inertial, optical and/or acoustic signals with a controller and tracking a position and/or orientation of the controller using the inertial, acoustic and/or optical signal.

A visual assistance device wearable by a person. The device includes a camera and a processor. The processor captures multiple image frames from the camera. A candidate image of an object is searched in the image frames. The candidate image may be classified as an image of a particular object or in a particular class of objects and is thereby recognized. The person is notified of an attribute related to the object.

A method and system for measuring and reacting to human interaction with elements in a space, such as public places (retail stores, showrooms, etc.) is disclosed which may determine information about an interaction of a three dimensional object of interest within a three dimensional zone of interest with a point cloud 3D scanner having an image frame generator generating a point cloud 3D scanner frame comprising an array of depth coordinates for respective two dimensional coordinates of at least part of a surface of the object of interest, within the three dimensional zone of interest, comprising a three dimensional coverage zone encompassing a three dimensional engagement zone and a computing comparing respective frames to determine the time and location of a collision between the object of interest and a surface of at least one of the three dimensional coverage zone or the three dimensional engagement zone encompassed by the dimensional coverage zone.

A patient fall prediction system receives video image frames from a surveillance camera positioned in a patient's room and analyses the video image frames for movement that may be a precursor to a patient fall. In set up phase, the viewpoint of the camera is directed at a risk area associated with patient falls, beds, chairs, wheelchairs, etc. A risk area is defined graphically in the viewport. The patient fall prediction system generates a plurality of concurrent motion detection zones that are situated proximate to the graphic markings of the risk areas. These motion detection zones are monitored for changes between video image frames that indicate a movement. The pattern of detections is recorded and compared to a fall movement detection signature. One fall movement detection signature is a sequential detection order from the motion detection zone closest to the risk area in the frames associated with patient falls, to the motion detection zone farthest away from the risk area. The patient fall prediction system continually monitors the motion detection zones for changes between image frames and compiles detections lists that are compared to known movement detection signatures, such as a fall movement detection signature. Once a match is identified, the patient fall prediction system issues a fall warning to a healthcare provider.

A motion image processing method and device for authenticating a user using a specific device, using motion information of an object. Time series monochrome images, obtained by photographing an object, using a camera, are input. An object is detected from an initial frame of the input time series images, using a basic shape characteristic, and a plurality of reference points to be tracked are automatically determined in the object. Then, corresponding points of the respective reference points are detected in an image frame other than the initial frame among the input time series images. Subsequently, motion information of a finger is calculated, based on the result of tracking the respective reference points and an assumption of limited motion in a 3D plane. Based on the calculated motion parameter, a solid object is subjected to coordinate conversion, and displayed if necessary. As a result of the tracking, a reference point in each frame is updated. Tracking, motion parameter calculation, and displaying are repeated with respect to subsequent frames.

The method, system and computer program product generate online interactive maps linking tracked objects (in a live or pre-recorded video sequence) to multimedia content in real time. Specifically, an object tracking and link generation (OTLG) utility allows a user to access multimedia content by clicking on moving (or still) objects within the frames of a video (or image) sequence. The OTLG utility identifies and stores a clear image(s) of an object or of multiple objects to be tracked and initiates a mechanism to track the identified objects over a sequence of video or image frames. The OTLG utility utilizes the results of the tracking mechanism to generate, for each video frame, an interactive map frame with interactive links placed in the map frame at a location corresponding to the object's tracked location in each video frame.

A system and method for computerized searching for items of interest contained in visual media assets, such as a movie or video, stores digital tag information for tagged visual media assets which includes for each tag a time code for a representative image frame, an address code for the storage location of a captured image-still of the frame, and one or more keywords representing the item(s) of interest or their characteristics. When a search request is entered with keywords for items of interest, the search result lists entries from tags containing those keywords, and can also display the captured image-stills (or thumbnail photos thereof) as a visual depiction of the search results. The search service enables advertisers and vendors to bid on rights to link their advertising and other information displays to the search results. The search service can also be used for playback of clips from media assets to viewers on a video viewing website or on a networked playback device.

A method is provided using a system mounted in a vehicle. The system includes a rear-viewing camera and a processor attached to the rear-viewing camera. When the driver shifts the vehicle into reverse gear, and while the vehicle is still stationary, image frames from the immediate vicinity behind the vehicle are captured. The immediate vicinity behind the vehicle is in a field of view of the rear-viewing camera. The image frames are processed and thereby the object is detected which if present in the immediate vicinity behind the vehicle would obstruct the motion of the vehicle. The processing is preferably performed in parallel for a plurality of classes of obstructing objects using a single image frame of the image frames.

A vehicle environment monitoring device identifies objects from an image taken by an infrared camera. Object extraction from images is performed in accordance with the state of the environment as determined by measurements extracted from the images as follows: N1 binarized objects are extracted from a single frame. Height of a grayscale objects corresponding to one of the binarized objects are calculated. If a ratio of the number of binarized objects C, where the absolute value of the height difference is less than the predetermined value ΔH, to the total number N1 of binarized objects, is greater than a predetermined value X1, the image frame is determined to be rainfall-affected. If the ratio is less than the predetermined value X1, the image frame is determined to be a normal frame. A warning is provided if it is determined that the object is a pedestrian and if a collision is likely.

This invention provides a vehicle-borne system and method for traffic sign recognition that provides greater accuracy and efficiency in the location and classification of various types of traffic signs by employing rotation and scale-invariant (RSI)-based geometric pattern-matching on candidate traffic signs acquired by a vehicle-mounted forward-looking camera and applying one or more discrimination processes to the recognized sign candidates from the pattern-matching process to increase or decrease the confidence of the recognition. These discrimination processes include discrimination based upon sign color versus model sign color arrangements, discrimination based upon the pose of the sign candidate versus vehicle location and/or changes in the pose between image frames, and/or discrimination of the sign candidate versus stored models of fascia characteristics. The sign candidates that pass with high confidence are classified based upon the associated model data and the drive/vehicle is informed of their presence. In an illustrative embodiment, a preprocess step converts a color image of the sign candidates into a grayscale image in which the contrast between sign colors is appropriate enhanced to assist the pattern-matching process.

An image pickup device is constituted by a handset of cellular phone, wherein an image pickup unit photographs a user as first object, to output image data of a first image frame. A facial region detecting circuit retrieves a facial image portion of the user as first object according to image data of the first image frame. An image synthesizing circuit is supplied with image data of a second image frame including persons as second object. The facial image portion is synthesized in a background region being defined outside the persons as second object within the second image frame.

A “Keyframe Stitcher” provides an efficient technique for building mosaic panoramic images by registering or aligning video frames to construct a mosaic panoramic representation. Matching of image pairs is performed by extracting feature points from every image frame and matching those points between image pairs. Further, the Keyframe Stitcher preserves accuracy of image stitching when matching image pairs by utilizing ordering information inherent in the video. The cost of searching for matches between image frames is reduced by identifying “keyframes” based on computed image-to-image overlap. Keyframes are then matched to all other keyframes, but intermediate image frames are only matched to temporally neighboring keyframes and neighboring intermediate frames to construct a “match structure.” Image orientations are then estimated from this match structure and used to construct the mosaic. Matches between image pairs may be compressed to reduce computational overhead by replacing groups of feature points with representative measurements.

A method and a device for intra prediction coding and decoding of an image in which the intra prediction according to a selected intra prediction mode based on a direction of an input image is performed are provided. In the method and the device, an input block is frequency transformed, a direction of pixels in the input block is determined, and the intra prediction is performed according to an intra prediction mode that has the most similar direction to the determined direction of the pixels.

An image rendering unit (IRU) of a device determines the dynamic frame rate capabilities (DFRCs) of a display and an image frame rate of content to be displayed. Preferably, the DFRCs are stored in a storage device deployed within the display itself. Based on the DFRCs and the image frame rate for the content, the IRU determines an updated frame rate and thereafter provides the content to the display at the updated frame rate. Where control of power consumption is desired, selection of a reduced frame rate can effect a power savings. In this manner, the present invention provides flexible control over display frame rates and/or power consumption of the device.

A method is provided for preventing a collision between a motor vehicle and a pedestrian. The method uses a camera and a processor mountable in the motor vehicle. A candidate image is detected. Based on a change of scale of the candidate image, it may be determined that the motor vehicle and the pedestrian are expected to collide, thereby producing a potential collision warning. Further information from the image frames may be used to validate the potential collision warning. The validation may include an analysis of the optical flow of the candidate image, that lane markings prediction of a straight road, a calculation of the lateral motion of the pedestrian, if the pedestrian is crossing a lane mark or curb and/or if the vehicle is changing lanes.

A technique of generating a stereoscopic panorama image includes panning a portable camera device, and acquiring multiple image frames. Multiple at least partially overlapping image frames are acquired of portions of the scene. The method involves registering the image frames, including determining displacements of the imaging device between acquisitions of image frames. Multiple panorama images are generated including joining image frames of the scene according to spatial relationships and determining stereoscopic counterpart relationships between the multiple panorama images. The multiple panorama images are processed based on the stereoscopic counterpart relationships to form a stereoscopic panorama image.